弹道中段多目标微多普勒分离方法

发布时间：2018-11-09 12:18

【摘要】：针对窄带雷达获取的多目标回波中微多普勒信息相互交叠、难以分离与提取的问题,提出了一种基于拍卖算法和小波分析相结合的多目标微多普勒分离方法。在滑动散射模型的基础上,首先通过对回波信号进行预处理得到时频骨架,再根据弹道目标多普勒的变化规律及估计的进动周期定义路径长度,利用拍卖算法提取出多条多普勒曲线对应的最短路径,最后采用小波分析法消除多普勒曲线中的剩余平动分量,实现了多目标微多普勒的分离。仿真结果表明,该方法能够较好地解决交叉区域的路径选择问题,且抗噪性较好,适用于多种微动形式。
[Abstract]:Aiming at the problem that the micro-Doppler information in the multi-target echo obtained by narrowband radar overlaps with each other and is difficult to separate and extract, a multi-target micro-Doppler separation method based on auction algorithm and wavelet analysis is proposed. Based on the sliding scattering model, the time-frequency skeleton is obtained by preprocessing the echo signal, and then the path length is defined according to the Doppler variation law of the ballistic target and the estimated precession period. The shortest path corresponding to multiple Doppler curves is extracted by auction algorithm. Finally, wavelet analysis is used to eliminate the remaining translational components in the Doppler curve, and the separation of multi-target micro-Doppler is realized. The simulation results show that the proposed method can solve the path selection problem in the crossover region and has good noise resistance and is suitable for various fretting forms.
【作者单位】：空军工程大学防空反导学院;信息感知技术协同创新中心;
【基金】：国家自然科学基金(61372166,61501495) 陕西省自然科学基础研究计划(2014JM8308)~~
【分类号】：TN957.51

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